The document outlines updates and plans for VictoriaMetrics' anomaly detection, highlighting new features in Q4 2024, including support for multitenant queries, improved performance for reading and processing, and timezone-aware models. Future plans for Q1 2025 focus on enhancing user convenience and scalability through new GUIs and benchmarking tools. Additionally, integration with Victorialogs for anomaly detection on log-based metrics is planned for Q2 2025 and beyond.

1. victoriametrics.com
VictoriaMetrics
Anomaly Detection
2024-12-12
Simple, Reliable, Efficient Monitoring
Presented by Fred Navruzov

2. Agenda
victoriametrics.com
Simple, Reliable, Efficient Monitoring
What Q3’24 ended on
What Q4’24 brought to the table
Plans for Q1’25

3. What Q3’24 ended on
victoriametrics.com
Simple, Reliable, Efficient Monitoring
Releases (15): 1.13.3 - 1.16.1
Reader:
Allow processing larger queries that exceed
-search.maxPointsPerTimeseries constraint in VictoriaMetrics
Add per-query parameters, like data_range or step to override the global parameters
Improve performance on multicore instances for reading and data processing
Introduced data disk dumps - see how to enable it here
Models:
Add classes supporting online learning on stream-like data, see our documentation
Online z-score, Online MAD, Online Quantile
Added a groupby argument for logical grouping in multivariate models.

4. What Q4’24 brought to the table
victoriametrics.com
Simple, Reliable, Efficient Monitoring
Releases (14): 1.16.2 - 1.18.8
Reader/Writer/Scheduler/Monitoring:
Added support for multitenant queries, enabling detecting anomalies across
multiple tenants - see our docs for details
Added mutual TLS (mTLS) support in vmanomaly components
Added max_points_per_query arg in VmReader to prevent search.maxQueryDuration
timeouts on longer fit windows and heavier queries
VmReader is now timezone aware (both the reader and query levels) making local
seasonality more accurate, especially during daylight savings changes - see this FAQ section
PeriodicScheduler can be configured to start at a specific time using the start_from and tz
parameters - see this section

5. What Q4’24 brought to the table
victoriametrics.com
Simple, Reliable, Efficient Monitoring
Models:
Added timezone-aware seasonality support to Prophet and OnlineSeasonalQuantile
models. Should be used in combination with tz arg in Reader section
Improved fit stage performance on multicore instances
(WIP) Improving infer performance on multicore instances stage
System:
Now service can be run on a config directory that is recursively merged and validated
Added config splitting util to divide parent config into fully operational sub-configs -
see this section for the details

6. What Q4’24 brought to the table
victoriametrics.com
Simple, Reliable, Efficient Monitoring
Self-monitoring to monitor vmanomaly service health
Accompanied by alerting rules
Grafana dashboard for monitoring
Docs & quickstart guide
Based on reworked self-monitoring metrics
Documentation updates
Command-line arguments section in QuickStart
Config splitting section and timezone handling section in FAQ
Monitoring page - now has both logs & metrics for clarity and easier navigation

7. Plans for Q1’25
Convenience of Use
VMUI-based GUI for testing various anomaly detection configurations on historical data
(WIP) Node-Exporter preset v2.0 with improved visuals and resource-effective online models
(WIP) “How-to” Guides to reduce time to value on vmanomaly
Simple, Reliable, Efficient Monitoring victoriametrics.com

8. Plans for Q1’25
Resource Efficiency & Scalability
(WIP) Benchmarking utility to precisely estimate existing configurations
Semi-automated horizontal scalability & support in VM Operator
Simple, Reliable, Efficient Monitoring victoriametrics.com
(WIP) Capacity calculator for resource (CPU, RAM, speed) estimation

9. Simple, Reliable, Efficient Monitoring victoriametrics.com

10. Plans for Q2’25+
New Frontiers
Integration with VictoriaLogs - anomaly detection on log-based metrics and logs data
Simple, Reliable, Efficient Monitoring victoriametrics.com

11. Simple, Reliable, Efficient Monitoring victoriametrics.com
Get Started Here
victoriametrics.com/products/enterprise/anomaly-detection/
Product Page
docs.victoriametrics.com/anomaly-detection/
Documentation